11816542

Finding Root Cause for Low Key Performance Indicators

PublishedNovember 14, 2023
Assigneenot available in USPTO data we have
Technical Abstract

Patent Claims
10 claims

Legal claims defining the scope of protection, as filed with the USPTO.

3

3. The method according to claim 1, wherein determining the set of cluster-based KPI values also comprises selecting only a portion of records of the additional input data being part of a cluster.

4

4. The method according to claim 1, wherein the metric value of the machine-learning model comprises a plurality of types of metric values, comprising indicators of type accuracy, fairness, and/or drift.

5

5. The method according to claim 4, wherein the determining the set of cluster-based KPI values, the calculating the metric value of the machine-learning model, and the determination of correlation matrix values is performed for each type of metric values.

6

6. The method according to claim 1, wherein the KPI value is a plurality of different KPI values and wherein the determining the set of cluster-based KPI values, the calculating the metric value of the machine-learning model, and the determination of the correlation matrix values is performed for each of the plurality of different KPI values.

7

7. The method according to claim 1, wherein the correlation function is a k-medoids correlation function, k-means, or fuzzy c-means.

12

12. The computer system of claim 10, wherein determining the set of cluster-based KPI values also comprises selecting only a portion of records of the additional input data being part of a cluster.

13

13. The computer system of claim 10, wherein the metric value of the machine-learning model comprises a plurality of types of metric values, comprising indicators of type accuracy, fairness, and/or drift.

14

14. The computer system of claim 13, wherein the determining the set of cluster-based KPI values, the calculating the metric value of the machine-learning model, and the determination of correlation matrix values is performed for each type of metric values.

15

15. The computer system of claim 10, wherein the KPI value is a plurality of different KPI values and wherein the determining the set of cluster-based KPI values, the calculating the metric value of the machine-learning model, and the determination of the correlation matrix values is performed for each of the plurality of different KPI values.

16

16. The computer system of claim 10, wherein the correlation function is a k-medoids correlation function, k-means, or fuzzy c-means.

Patent Metadata

Filing Date

Unknown

Publication Date

November 14, 2023

Inventors

LUKASZ G. CMIELOWSKI
RAFAL BIGAJ
Wojciech Sobala
MAKSYMILIAN ERAZMUS

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Cite as: Patentable. “FINDING ROOT CAUSE FOR LOW KEY PERFORMANCE INDICATORS” (11816542). https://patentable.app/patents/11816542

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